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  1. Programs
  3. COMPUTATIONAL AND DATA SCIENCE

COMPUTATIONAL AND DATA SCIENCE

Middle Tennessee State University

Doctoral DegreeCIP: 27.0303

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

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Program Pathways

Credentials this program stacks toward

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Program Details

Detailed information about this program

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Requirements

What you need to earn this credential

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Financial Aid

Eligible funding programs

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Scholarships

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Locations

Where this program is offered

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Related Programs

Programs related to this one

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Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 15-2099.01

Skills

Reading ComprehensionWritingCritical ThinkingActive ListeningSpeakingComplex Problem SolvingActive LearningJudgment and Decision MakingMathematicsMonitoringScienceTime ManagementCoordinationSocial Perceptiveness

Knowledge

Computers and ElectronicsEnglish LanguageMathematicsCustomer and Personal ServiceEngineering and TechnologyBiologyMedicine and DentistryAdministration and ManagementPhysicsAdministrativeEducation and TrainingDesign

Abilities

Written ComprehensionOral ComprehensionDeductive ReasoningInductive ReasoningWritten ExpressionInformation OrderingOral ExpressionProblem SensitivitySpeech ClarityMathematical ReasoningCategory FlexibilityNear VisionSpeech RecognitionSelective AttentionNumber Facility

Tasks

  • Analyze or manipulate bioinformatics data using software packages, statistical applications, or data
  • Extend existing software programs, web-based interactive tools, or database queries as sequence mana
  • Maintain awareness of new and emerging computational methods and technologies.
  • Troubleshoot program and system malfunctions to restore normal functioning.
  • Provide staff and users with assistance solving computer-related problems, such as malfunctions and
  • Test, maintain, and monitor computer programs and systems, including coordinating the installation o
  • Design and validate clinical databases, including designing or testing logic checks.
  • Process clinical data, including receipt, entry, verification, or filing of information.
  • Generate data queries, based on validation checks or errors and omissions identified during data ent
  • Generate standard or custom reports summarizing business, financial, or economic data for review by
  • Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
  • Manage timely flow of business intelligence information to users.
  • Mentor others on mathematical techniques.
  • Maintain knowledge in the field by reading professional journals, talking with other mathematicians,
  • Develop new principles and new relationships between existing mathematical principles to advance mat
  • Perform hydrologic, hydraulic, or water quality modeling.
  • Analyze storm water systems to identify opportunities for water resource improvements.
  • Conduct, or oversee the conduct of, investigations on matters such as water storage, wastewater disc
  • Schedule subjects for appointments, procedures, or inpatient stays as required by study protocols.
  • Perform specific protocol procedures such as interviewing subjects, taking vital signs, and performi
  • Assess eligibility of potential subjects through methods such as screening interviews, reviews of me
  • Hire, supervise, or evaluate engineers, technicians, researchers, or other staff.
  • Design or coordinate successive phases of problem analysis, solution proposals, or testing.
  • Plan or direct research, development, or production activities.

Technology

Data base user interface and query softwareAnalytical or scientific softwareDevelopment environment softwareDocument management softwareGraphics or photo imaging softwareAccess softwareCategorization or classification softwareObject or component oriented development softwareGeographic information systemFile versioning softwareEnterprise application integration softwareWeb platform development softwareData base management system softwareMedical softwareData base reporting softwareWeb page creation and editing softwareBusiness intelligence and data analysis softwareStorage networking softwareCloud-based management softwareProcedure management softwareOperating system softwareContent workflow softwareComputer aided design CAD softwareCustomer relationship management CRM softwareAccounting softwareVideo conferencing softwareSpreadsheet software

Tools

Computer clustersComputer workstation setupsDesktop computersHigh throughput screening HTS systemsNetwork file serversNuclear magnetic resonance NMR spectrometersSemiconductor-based sequencersWeb serversHandheld computersLaptop computersSmartphonesComputer serversData warehouse appliancesLaser facsimile machinesPhotocopiersScannersStorage serversGraphing calculatorsOptical disk drivesPersonal computersSupercomputersUniversal serial bus USB flash drivesAutomated water sampling equipmentBinocular light compound microscopesChlorine testersDigital pH metersDissolved oxygen indicatorsGlobal positioning system GPS receiversGrab samplersGravitational field indicators

Work Values

Working ConditionsSupportIndependenceAchievementRecognitionRelationships
Career Pathways

Occupations this program prepares you for

  • Bioinformatics Technicians15-2099.01
  • Mathematical Science Occupations, All Other15-2099.00
  • Clinical Data Managers15-2051.02
  • Business Intelligence Analysts15-2051.01
  • Data Scientists15-2051.00
  • Mathematicians15-2021.00
  • Water Resource Specialists11-9121.02
  • Clinical Research Coordinators11-9121.01
  • Natural Sciences Managers11-9121.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: advanced (Level 4)(based on Doctoral Degree)

  • Organizational bioinformatics strategy — define and champion a multi-year computational roadmap aligned with institutional research priorities and emerging life-sciences technology trends.
  • Bioinformatics competency development — mentor and evaluate technicians and analysts across all experience levels, designing training curricula that build organizational analytical capability.
  • Enterprise-scale data architecture — oversee the design and governance of integrated genomic, proteomic, and expression database ecosystems serving institution-wide research and clinical programs.
  • Cross-functional innovation initiatives — lead cross-departmental teams to pioneer novel computational methodologies, translating research insights into scalable bioinformatics products and services.
  • Research computing investments — advise executive and funding stakeholders on technology acquisition, tool prioritization, and resource allocation for large-scale bioinformatics infrastructure.
  • Quality and compliance frameworks — establish organization-wide standards for data quality, reproducibility, and regulatory compliance across all bioinformatics pipelines and publications.
  • Strategic partnerships — cultivate collaborations with external research institutions, technology vendors, and funding agencies to advance the organization's computational biology capabilities.
  • High-impact scientific publications — direct and contribute expert authorship to landmark manuscripts, reviews, and data resource papers that shape the field's methodological standards.
  • Systems-level risk evaluation — assess institutional vulnerabilities in computational workflows and data security, designing mitigation strategies that safeguard sensitive biological research assets.
  • Thought leadership — represent the organization at scientific conferences, expert panels, and policy forums, shaping community standards for bioinformatics practice and data sharing.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Completion Rate
Not reported
Placement Rate
Not reported